We use the New York Times (NYT) corpus [1]} in our experiments. There are two versions of this corpus: (1) The original NYT corpus created by [1]} which has 52 valid relations and a None relation. We name this dataset NYT10. The training dataset has \(455,412\)  instances and \(330,776\)  of the instances belong to the None relation and the remaining \(124,636\)  instances have valid relations. The test dataset has \(172,415\)  instances and \(165,974\)  of the instances belong to the None relation and the remaining \(6,441\)  instances have valid relations. Both the training and test datasets have been created by aligning Freebase [3]} tuples to New York Times articles. (2) Another version created by [4]} which has 24 valid relations and a None relation. We name this dataset NYT11. The corresponding statistics for NYT11 are given in Table REF . The training dataset is created by aligning Freebase tuples to NYT articles, but the test dataset is manually annotated.
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